ARLINGTON, VA - December 20, 2016 - Endgame, a leading endpoint security platform closing the protection gap against advanced attackers, today announced that its machine learning-powered malware detection capability achieved a 100% efficacy rating with no false positives during an independent evaluation by SE Labs. The test measured the effectiveness of Endgame’s MalwareScore™ feature that detects and stops known and never-before-seen malware on customer endpoints.

“Endgame is the only endpoint detection and response (EDR) platform that prevents and detects known and unknown attacker techniques at scale with a single dissolvable agent,” said Jamie Butler, CTO at Endgame. “This certification further proves that our unique and patented innovations - including MalwareScore™ and in-memory attack detections - transform security teams from incident responders into hunters that prevent damage and loss. We look forward to building on this momentum and helping customers uncover the most sophisticated techniques that incumbent EDR tools fail to detect.”

Endgame’s malware detection capability earned a 100% efficacy rating according to results published by the UK-based security products testing firm SE Labs, a member of the Anti-Malware Testing Standards Organization (AMTSO). This certification builds on recent momentum from Endgame’s $18.8 million deal with the elite U.S. Air Force Cyber Protection Teams, the largest EDR contract of the year.

To learn more about the Endgame platform and our latest machine learning capabilities, schedule a demo.

About Endgame
Endgame is a leading endpoint security platform that enables enterprises to close the protection gap against advanced attacks and detect and eliminate resident adversaries. Endgame transforms security operations teams and incident responders from crime scene investigators into hunters that prevent damage and loss, and dramatically reduce the time and cost associated with incident response and compromise assessment. Our IOC-independent platform covers the entire kill chain, leveraging machine learning and data science to uncover, in real-time, unique attacks that evade traditional defenses and respond precisely without disrupting normal business operations.